{"instruction": "You are an expert in event argument extraction. Please extract event arguments and their roles from the input that conform to the schema definition, which already includes event trigger words. If an argument does not exist, return NAN or an empty dictionary. Please respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "arguments": ["trusted entity", "attack pattern", "damage amount", "purpose", "time", "place", "tool", "victim"]}], "input": "“ They track current trends and events to make their attacks more effective , and tax season offers a rich opportunity for attackers to disguise themselves as well - known brands and even government agencies in an effort to exploit users . ”"}
{"phishing": [{"trusted entity": ["well - known brands", "government agencies"], "attack pattern": "NAN", "damage amount": "NAN", "purpose": "NAN", "time": "NAN", "place": "NAN", "tool": "NAN", "victim": "NAN"}]}